Fold 0
Model 0 best validation mae = 0.110870 on epoch 27
Model 0 test mae = 0.111068
Ensemble test mae = 0.111068
Fold 1
Model 0 best validation mae = 0.110736 on epoch 28
Model 0 test mae = 0.110959
Ensemble test mae = 0.110959
Fold 2
Model 0 best validation mae = 0.110806 on epoch 24
Model 0 test mae = 0.110745
Ensemble test mae = 0.110745
Fold 3
Model 0 best validation mae = 0.110481 on epoch 25
Model 0 test mae = 0.110720
Ensemble test mae = 0.110720
Fold 4
Model 0 best validation mae = 0.110936 on epoch 27
Model 0 test mae = 0.110406
Ensemble test mae = 0.110406
Fold 5
Model 0 best validation mae = 0.110650 on epoch 25
Model 0 test mae = 0.110571
Ensemble test mae = 0.110571
Fold 6
Model 0 best validation mae = 0.110671 on epoch 29
Model 0 test mae = 0.110407
Ensemble test mae = 0.110407
Fold 7
Model 0 best validation mae = 0.110656 on epoch 29
Model 0 test mae = 0.110007
Ensemble test mae = 0.110007
Fold 8
Model 0 best validation mae = 0.110572 on epoch 29
Model 0 test mae = 0.110286
Ensemble test mae = 0.110286
Fold 9
Model 0 best validation mae = 0.110796 on epoch 28
Model 0 test mae = 0.110349
Ensemble test mae = 0.110349
10-fold cross validation
	Seed 0 ==> test mae = 0.111068
	Seed 1 ==> test mae = 0.110959
	Seed 2 ==> test mae = 0.110745
	Seed 3 ==> test mae = 0.110720
	Seed 4 ==> test mae = 0.110406
	Seed 5 ==> test mae = 0.110571
	Seed 6 ==> test mae = 0.110407
	Seed 7 ==> test mae = 0.110007
	Seed 8 ==> test mae = 0.110286
	Seed 9 ==> test mae = 0.110349
Overall test mae = 0.110552 +/- 0.000308
Elapsed time = 5:23:54
